VILNIUS TECH at Baltic AI Hack

October 14, 2024
A delegation of 19 students from VILNIUS TECH, supported by five coaches and mentors, embraced the hackathon's challenge to leverage AI for societal impact. Eight students from the Faculty of Fundamental Sciences (FMF) formed two teams to tackle a key challenge: AI-Driven Alumni Information. The goal was to use GenAI to track and analyze alumni career paths and provide data-driven insights to help universities better connect with their graduates and adapt to evolving industry demands.
 
With access to cutting-edge tools like Meta's Llama large language models and IBM's AI infrastructure, the VILNIUS TECH teams explored new ways to process large datasets and derive meaningful patterns. Their solutions offered practical applications for tracking alumni success and aligning academic programs with workforce trends, contributing to long-term improvements in education.
 
FMF Team Reaches the Finals
 
One of the FMF teams made it to the final round of the competition, standing out among 34 participating teams. Their project, AlumniCareerAI, received special recognition, winning the Public Vote award. This accolade highlighted the team's innovative approach to using AI for real-world applications, particularly in enhancing alumni engagement and career monitoring.
 
Learning Through Innovation
 
For VILNIUS TECH students, BalticAIHack was more than just a competition; it was an opportunity to gain hands-on experience with state-of-the-art AI technologies. By working with Meta's Llama and IBM Watson, the students developed new skills in natural language processing and AI-driven problem-solving, all while collaborating in interdisciplinary teams. The event provided them with valuable insights into how AI can be applied to complex challenges in education and beyond.
The success of VILNIUS TECH students at BalticAIHack reflects the university's commitment to fostering innovation and preparing students to address tomorrow's challenges. Their participation underscores the university's growing influence in AI research and development, not only in Lithuania but also across the Baltic region.
 
A Promising Future for GenAI in Education
 
The FMF team's work on AI-powered alumni career monitoring is just the beginning of what VILNIUS TECH students are capable of achieving. As they continue to hone their skills and apply AI to real-world challenges, they are well-positioned to contribute to a smarter, more sustainable, and inclusive future. BalticAIHack 2024 has proven to be a platform for emerging talent, and VILNIUS TECH students are ready to lead the way in AI innovation.

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New doctoral dissertation
New doctoral dissertation
VILNIUS TECH Library invites you to follow the published new dissertations. The dissertation „Resistance of technological waste-modified concrete to freeze–thaw cycles and alkaline corrosion“  („Technologinėmis atliekomis modifikuoto betono atsparumas užšaldymo ir atšildymo ciklams bei šarminei korozijai“) prepared at VILNIUS TECH by Edvinas Pocius. The dissertation was prepared in 2021–2026. Scientific consultant – Prof. Dr Džigita Nagrockienė. The dissertation was defended at the public meeting of the Dissertation Defence Council of the Scientific Field of Materials Engineering in the Aula Doctoralis Meeting Hall of Vilnius Gediminas Technical University at 10 a.m. on 8 June 2026. The dissertation investigates concrete modified with glass processing waste, concrete sludge, and a crystallizing additive. The goal is to develop concrete that is resistant to freeze–thaw cycles and alkali–silica reaction (ASR) by replacing part of the cement with glass waste and sand with concrete sludge. By selecting the optimal amount of technological waste, the aim is to improve the basic properties of concrete while maintaining its resistance to freeze–thaw cycles and alkali–silica reaction. The tasks addressed in the work include the analysis of glass processing waste and concrete sludge, evaluating their impact on the properties of the cement paste. After determining the recommended waste content, the physical and mechanical properties of the modified concrete are investigated, focusing on resistance to freeze–thaw cycles and alkali–silica reaction. This research sequence aims to substantiate the basic properties and resistance to freeze–thaw cycles and alkali–silica reaction of the newly developed material. The dissertation consists of an introduction, three chapters, general conclusions, a list of references, a list of the author‘s scientific publications, and a summary in English. The Introduction discusses the research problem and relevance, describes the object of research, formulates the aim and tasks, and outlines the research methodology, scientific novelty, practical significance, and statements for defence. The First Chapter discusses active mineral substances, their formation and use in concrete production. It discusses the generation of concrete sludge and glass waste, as well as the impact of their use on the physical and mechanical properties and durability of concrete. The durability of waste-modified concrete and the assessment of carbon dioxide emissions are also described. Conclusions are formulated, and the objectives of the dissertation are refined at the end of the chapter. The Second Chapter presents the materials used, their properties, and their formation. It describes the research methods and equipment chosen to investigate the structure and properties of the concrete and to calculate its CO2 emissions. The Third Chapter substantiates recommended dosages of glass waste and concrete sludge and their effects on cementitious systems. Glass waste was found suitable for cement replacement, and dry sludge for fine aggregate. An environmental impact assessment was also performed. Five scientific articles were published on the dissertation topic in the Web of Science database, Science Citation Index Expanded, peer-reviewed publications with a citation index. Doctoral dissertation readers can search via VILNIUS TECH Virtual Library.
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